OOIR: Observatory of International Research

Papers

(The median citation count of User Modeling and User-Adapted Interaction is 4. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)

Article	Citations
Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario	117
Learner models: design, components, structure, and modelling	61
Recommending on graphs: a comprehensive review from a data perspective	57
Persuasion-enhanced computational argumentative reasoning through argumentation-based persuasive frameworks	51
An adaptive decision-making system supported on user preference predictions for human–robot interactive communication	41
Theory-based habit modeling for enhancing behavior prediction in behavior change support systems	30
Generalisable sensor-free frustration detection in online learning environments using machine learning	28
Investigating different recommender algorithms in the domain of physical activity recommendations: a longitudinal between-subjects user study	25
Preface to the special issue on conversational recommender systems: theory, models, evaluations, and trends	25
Deep adversarial group recommendation with user feature space separation	25
Informative representations for forgetting-robust knowledge tracing	25
Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises	25
Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial	22
Correction: Twenty-Five Years of Bayesian knowledge tracing: a systematic review	22
Preface on the special issue on group recommender systems	21
Ensuring accuracy and fairness: a de-biasing framework for sequential recommendation	17
Preface to the special issue on personalization and adaptation in human–robot interactive communication	16
User-centered personalized gamification: an umbrella review	16
Intra-list similarity and human diversity perceptions of recommendations: the details matter	15
Gaze-based predictive models of deep reading comprehension	15
Generating predicate suggestions based on the space of plans: an example of planning with preferences	14
Example, nudge, or practice? Assessing metacognitive knowledge transfer of factual and procedural learners	13
TriDeepRec: a hybrid deep learning approach to content- and behavior-based recommendation systems	13
Enhancing user awareness on inferences obtained from fitness trackers data	13
A context-aware recommender system-based framework for improving cultural experiences	12

Digitally nudging users to explore off-profile recommendations: here be dragons	11
Non-binary evaluation of next-basket food recommendation	11
A bias detection tree approach for detecting disparities in a recommendation model’s errors	11
Safe, effective and explainable drug recommendation based on medical data integration	10
Fair performance-based user recommendation in eCoaching systems	10
EvoRecSys: Evolutionary framework for health and well-being recommender systems	10
An adaptive Metalearner-based flow: a tool for reducing anxiety and increasing self-regulation	9
An explainable content-based approach for recommender systems: a case study in journal recommendation for paper submission	8
A human-centered decentralized architecture and recommendation engine in SIoT	8
Personalized recommendations for learning activities in online environments: a modular rule-based approach	8
Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders	8
Adapting approaching proxemics of a service robot based on physical user behavior and user feedback	8
One size does not fit all: detecting attention in children with autism using machine learning	8
Exploring the impact of explainable AI and cognitive capabilities on users’ decisions	8
An overview of consensus models for group decision-making and group recommender systems	8
A Bayesian framework for learning proactive robot behaviour in assistive tasks	7
Generating explanations for knowledge-aware conversational recommendation systems	7
Efficient incorporation of new interactions in graph recommenders via folding-in	7
Improving selection diversity using hybrid graph-based news recommenders	7
Modeling the phases of rule learning during problem solving with an interactive learning environment	7
Enhancing a student productivity model for adaptive problem-solving assistance	7
Improving session-based recommendation with contrastive learning	6
Clustering of conversational bandits with posterior sampling for user preference learning and elicitation	6
“Knowing me, knowing you”: personalized explanations for a music recommender system	6
Personalized home-care support for the elderly: a field experience with a social robot at home	6
Use of topical and temporal profiles and their hybridisation for content-based recommendation	5
Solving the imbalanced data issue: automatic urgency detection for instructor assistance in MOOC discussion forums	5
SNRBERT: session-based news recommender using BERT	5
The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation	5
A contrastive self-supervised learning method for source-free EEG emotion recognition	5
Fairness in recommender systems: research landscape and future directions	5
Physiology-based personalization of persuasive technology: a user modeling perspective	5
Cognitive personalization for online microtask labor platforms: A systematic literature review	5
A novel group recommender system for domain-independent decision support customizing a grouping genetic algorithm	5
Examining the merits of feature-specific similarity functions in the news domain using human judgments	5
Emotional intelligence and individuals’ viewing behaviour of human faces: a predictive approach	5
Embarrassingly shallow auto-encoders for dynamic collaborative filtering	5
An automated system recommending background music to listen to while working	5
Preface to the special issue on news personalization and analytics	4
Automatically detecting task-unrelated thoughts during conversations using keystroke analysis	4
Personalization of industrial human–robot communication through domain adaptation based on user feedback	4
What we see is what we do: a practical Peripheral Vision-Based HMM framework for gaze-enhanced recognition of actions in a medical procedural task	4
Validating Motives of Autonomous Players (MAP) inventory: a bottom-up model of general motivational factors to videogame play	4
Modeling users’ heterogeneous taste with diversified attentive user profiles	4
Deep shared learning and attentive domain mapping for cross-domain recommendation	4
Autoregressive generation strategies for Top-K sequential recommendations	4
Justification of recommender systems results: a service-based approach	4
Rank-sensitive proportional aggregations in dynamic recommendation scenarios	4
Using latent variable models to make gaming-the-system detection robust to context variations	4
Persuasive strategies and emotional states: towards designing personalized and emotion-adaptive persuasive systems	4